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. 2024 Oct 21;17(1):3–21. doi: 10.1111/os.14272

Postoperative Harris Hip Score Versus Harris Hip Score Difference in Hip Replacement: What to Report?

Nikolai Ramadanov 1,2,, Maximilian Voss 1,2, Robert Hable 3, Hassan Tarek Hakam 1,2, Robert Prill 1,2, Mikhail Salzmann 1,2, Dobromir Dimitrov 4, Roland Becker 1,2
PMCID: PMC11735366  PMID: 39434235

ABSTRACT

Background

Reliable scientific information is crucial for assessing hip function and evaluating the success of hip surgery. The Harris Hip Score (HHS) is the most widely used tool for measuring hip function and, in particular, the outcomes of hip surgery. The aim of this study was to conduct a systematic review of the literature to identify randomized controlled trials (RCTs) that reported the HHS for hip replacement treatment groups and to test whether there was a substantial difference between reporting only the postoperative HHS or the HHS difference (HHSdiff).

Methods

PubMed, CNKI, and Epistemonikos were searched until March 1, 2024. The risk of bias, level of evidence, and publication bias were assessed. As HHS is a continuous outcome, mean difference (MD) with 95% confidence intervals (CIs) was calculated using the Hartung–Knapp–Sidik–Jonkman method and a common‐effect/random‐effects model. The same approach was used for both postoperative HHS and HHSdiff. The effect of the two treatment groups studied (minimally invasive vs. conventional approach) on postoperative HHS was then compared with the effect of the two groups studied on the difference in HHS.

Results

A total of 41 RCTs, involving 3572 patients, with a low to high risk of bias and a low to moderate publication bias were included. The measured outcome parameters showed a low to moderate level of evidence. There was no relevant difference in the reporting of HHS only postoperatively or HHSdiff when comparing two hip replacement treatment groups in RCTs, measured at 0–0.5, 3, 6, and 12 months postoperatively.

Conclusion

The present study showed that there is no relevant difference between reporting of the HHS only postoperatively or HHSdiff when comparing two hip replacement treatment groups in RCTs. Both methods of HHS reporting produced comparable results in an identical cohort of 3765 patients undergoing hip replacement surgery.

Keywords: Harris Hip Score, meta‐analysis, patient reported outcome measure, systematic review, total hip arthroplasty


In a study of 41 RCTs, involving 3572 patients, we tried to test whether there was a substantial difference in reporting only the postoperative Harris Hip Score (HHS) or the HHS difference (HHSdiff). We found no relevant difference in reporting of HHS only postoperatively or HHSdiff when comparing two hip replacement treatment groups in RCTs, measured at 0–0.5, 3, 6, and 12 months postoperatively. The present study showed that there is no relevant difference in the reporting of the HHS postoperatively only or the HHSdiff when comparing two hip replacement treatment groups in RCTs. Both methods of HHS reporting produced comparable results in an identical cohort of 3765 patients undergoing hip replacement surgery.

graphic file with name OS-17-3-g001.jpg


Abbreviations

CI

confidence interval

HHA

hip hemiarthroplasty

HHS

Harris Hip Score

ITT

intention to treat

MCID

minimum clinically important difference

MD

mean difference

PRISMA

Preferred Reporting Items for Systematic Reviews and Meta‐Analysis

PROM

patient‐reported outcome measure

PROSPERO

International Prospective Register of Systematic Reviews

RCT

randomized controlled trial

RoB

risk of bias

SF‐36

Short Form‐36

THA

total hip arthroplasty

WOMAC

Western Ontario McMaster Osteoarthritis Index

1. Introduction

Millions of patients with various hip pathologies have been relieved of pain after hip arthroplasty, with varying functional outcomes. To evaluate the success of hip surgery, it is essential that science provides us with reliable information to assess hip function. In addition to the use of performance or time‐based measures, patient‐reported outcome measures (PROMs) have been mainly used to capture this domain [1]. The Harris Hip Score (HHS) [2] is the most commonly used tool to measure hip function and, in particular, hip surgery outcomes. Several studies have tested the validity and reliability of the HHS and found it to be a valid instrument that provides reliable information about the functional outcome of total hip arthroplasty (THA) [3, 4, 5, 6, 7, 8, 9, 10]. In fact, the HHS is becoming established as the gold standard [11]. It is often used as a reference for assessing the validity of other PROMs for hip function [11]. The HHS outperforms the Western Ontario McMaster Osteoarthritis Index (WOMAC) [10], the Short Form‐36 (SF‐36) [10, 12, 13], and the simple assessment of walking speed [13]. When using the HHS, the overall score is derived from the assessment of four aspects: pain, function, degree of deformity, and hip range of motion. The better the functional hip outcome, the higher the total score, which ranges from 0 to 100 points. Authors of orthopedic literature regularly use the calculated results of the HHS in randomized controlled trials (RCTs) to decide which treatment is superior for hip surgery. After all, RCTs of THA, in which hip function is so often described using the HHS, form the top of the evidence‐based medicine pyramid.

However, in the orthopedic literature, most RCTs of THA only report the effect of postoperative HHS between two THA treatment groups. Some higher‐quality RCTs also report preoperative HHS, and a few RCTs even compare the two THA treatment groups by looking at the HHS difference (HHSdiff). The HHSdiff is defined as the difference between preoperative and postoperative HHS values. Reporting the HHSdiff is likely to provide more accurate results and sufficient insight into the true effect in terms of relative treatment effect. Otherwise, there is no information on whether both treatment groups started with comparable preoperative HHS or whether one group had better preoperative hip function than the other. The counter‐argument is that the preoperative condition of the hip cannot be that relevant, as the entire hip joint is being replaced. However, we still do not know what is better to report: is it sufficient to report only the postoperative HHS or is it necessary to report the HHSdiff? Do the two different reports lead to relevant differences that might lead to different conclusions when comparing hip replacement treatment groups?

The aim of this study was to perform a systematic review of the literature to find RCTs that reported HHS of hip replacement treatment groups and to test whether there was a substantial difference in reporting only the postoperative HHS or the HHSdiff.

2. Methods

This study protocol was registered in the International Prospective Register of Systematic Reviews (PROSPERO) on February 27, 2024 [CRD42024513554]. We strictly followed author guidelines for conducting systematic reviews and meta‐analyses during the production [14], and the updated version of the Preferred Reporting Items for Systematic Reviews and Meta‐Analysis (PRISMA) guidelines [15] in reporting this review. The PRISMA checklist is available in the Supplementary Appendix.

2.1. Systematic Review

PubMed, CNKI, and Epistemonikos were searched until March 1, 2024. A Boolean search strategy was constructed and adapted to the syntax of the databases used. The search term used was (((total hip arthroplasty) OR (hemiarthroplasty) OR (THA) OR (HA) OR (hip replacement)) AND ((conventional approach) OR (DAA) OR (anterior approach) OR (AMIS) OR (ALMI) OR (SuperPATH) OR (minimally invasive))). No publication language restrictions were applied. A stepwise screening process was performed according to the PRISMA guidelines [15]. First, the titles and abstracts of the identified records were screened. The full texts of the screened articles were then assessed for eligibility. The decision to include each study was made by consensus between two reviewers (NR and MV). The agreement between the reviewers was measured using the kappa coefficient (κ). The following inclusion criteria were applied: (i) only RCTs were included, (ii) human participants with hip disease or fracture, (iii) who underwent hip replacement by THA or hip hemiarthroplasty (HHA) using a minimally invasive hip approach/technique compared to a conventional approach/technique, and (iv) both the minimally invasive and conventional treatment groups must report pre‐ and postoperative functional hip outcome as measured by the HHS. The following exclusion criteria were applied: (i) robotic assistance and computer navigation, (ii) revision surgery, (iii) dual mobility THA, (iv) monopolar HHA, and (v) missing outcome data.

2.2. Data Extraction

Data extraction was performed independently by two reviewers (NR and MV), and disagreements were resolved by consensus, collecting data on RCT characteristics, methods, quality assessment, participant characteristics, details of interventions, relevant outcomes, and relevant additional information. The extracted data are available in the Supplementary Appendix. Missing standard deviations were imputed. We adhered to the intention‐to‐treat (ITT) analysis for data extraction from RCTs. HHS was measured preoperatively and at different time points postoperatively: 0–1.5, 3, 6, and ≥ 12 months.

2.3. Quality Assessment

Risk of bias (RoB) and level of evidence were assessed by two reviewers independently using the Cochrane RoB 2 tool [16] and the GRADE system recommendations [17], with disagreements resolved by consensus. Publication bias was calculated using Begg's and Egger's tests.

2.4. Statistics

As HHS is a continuous outcome, the mean difference (MD) with 95% confidence intervals (CIs) was calculated using the Hartung–Knapp–Sidik–Jonkman method and a common‐effect/random‐effects model. The same approach was used for both postoperative HHS and HHSdiff. Before this, the HHSdiff was calculated by subtracting the preoperative HHS value from the postoperative HHS value for each RCT. The heterogeneity of the RCTs was assessed using the Cochrane Q test (p value < 10 indicates heterogeneity) and the Higgins test I 2 (low heterogeneity < 25%, moderate heterogeneity: 25%–75%, and high heterogeneity > 75%) [18]. As these values indicate a high degree of heterogeneity for some parameters, we have retained the random‐effects model in our presentation of the results. Studies were weighted using inverse variance. Minimally invasive hip replacement was referred to as the experimental group, and conventional hip replacement was referred to as the control group. The effect of the two treatment groups studied (minimally invasive vs. conventional approach) on postoperative HHS was then compared with the effect of the two groups studied on the difference in HHS. A professional statistician (RH) performed all statistical calculations using the R packages meta and metafor.

3. Results

3.1. Systematic Review

The study selection process is illustrated in a PRISMA flowchart (Figure 1). After excluding duplicates, the initial literature search yielded 6597 records. A total of 91 RCTs [19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 78, 79, 80, 81, 82, 83, 84, 85, 86, 87, 88, 89, 90, 91, 92, 93, 94, 95, 96, 97, 98, 99, 100, 101, 102, 103, 104, 105, 106, 107, 108, 109] were screened by full‐text analysis. Of these 91 RCTs [19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 78, 79, 80, 81, 82, 83, 84, 85, 86, 87, 88, 89, 90, 91, 92, 93, 94, 95, 96, 97, 98, 99, 100, 101, 102, 103, 104, 105, 106, 107, 108, 109], 50 RCTs [60, 61, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 78, 79, 80, 81, 82, 83, 84, 85, 86, 87, 88, 89, 90, 91, 92, 93, 94, 95, 96, 97, 98, 99, 100, 101, 102, 103, 104, 105, 106, 107, 108, 109] with full interrater agreement (κ = 1.0) were excluded for the following reasons: five RCTs lacked randomization [60, 61, 62, 63, 64] and 45 RCTs [65, 66, 67, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 78, 79, 80, 81, 82, 83, 84, 85, 86, 87, 88, 89, 90, 91, 92, 93, 94, 95, 96, 97, 98, 99, 100, 101, 102, 103, 104, 105, 106, 107, 108, 109] did not report the outcome of interest, that is, HHS before or after surgery. A total of 41 RCTs [19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59] with 3572 patients were included in the final meta‐analysis. Of these patients, 1720 received minimally invasive hip replacement and 1852 received conventional hip replacement. The main characteristics of the patients and the included RCTs are listed in Table 1.

FIGURE 1.

FIGURE 1

PRISMA flowchart.

TABLE 1.

Main characteristics of RCTs.

RCT Year of publication, origin Patients, N THA/HHA Approach Osteoarthrosis, N Femoral neck fracture, N Dysplasia, N ANFH, N
Auffarth et al. [19] 2011, Austria 24 HHA MI DAA 0 24 0 0
24 CA LA 0 24 0 0
Barrett, Turner, and Leopold [20] 2013, USA 43 THA MI DAA 43 0 0 0
44 CA PL 44 0 0 0
Bon et al. [21] 2019, France 50 THA MI DAA 50 0 0 0
50 CA P 50 0 0 0
Dai, Yin, Ji, and Yi [22] 2019, China 61 HHA MI S 0 61 0 0
67 CA PL 0 67 0 0
D'Arrigo et al. [23] 2009, Italy 20 THA MI DAA 20 0 0 0
149 CA L 149 0 0 0
De Anta‐Diaz et al. [24] 2016, Spain 49 THA MI DAA 49 0 0 0
50 CA L 50 0 0 0
Dienstknecht et al. [25] 2013, Germany 83 THA MI MH 83 0 0 0
51 CA L 51 0 0 0
Ding, Li, and Luo [26] 2023, China 43 HHA MI S 0 43 0 0
43 CA L 0 43 0 0
Gao and Shi [27] 2020, China 35 THA MI S 0 35 0 0
35 CA P 0 35 0 0
Hou, Bao, and Cheng [28] 2017, China 20 THA MI S 6 0 0 14
20 CA 5 0 0 15
Huang et al. [29] 2021, China 53 THA MI S 0 16 0 37
76 CA L 0 18 0 58
Jia et al. [30] 2017, China 32 HHA MI S 0 32 0 0
32 CA P 0 32 0 0
Li [31] 2020, China 30 THA MI S NR NR NR NR
30 CA PL NR NR NR NR
Li [32] 2021, China 41 HHA MI S 0 41 0 0
41 CA PL 0 41 0 0
Li et al. [33] 2023, China 35 THA MI S 0 0 0 35
30 CA PL 0 0 0 30
Ling, Zhou, and Fu [34] 2020, China 50 THA MI S 0 50 0 0
50 CA PL 0 50 0 0
Liu et al. [35] 2022, China 30 THA MI S 3 13 0 14
30 CA 6 9 0 15
Liu et al. [36] 2021, China 47 THA MI S 0 47 0 0
47 CA PL 0 47 0 0
Martin et al. [37] 2011, Belgium 42 THA MI AL 37 0 0 5
41 CA L 37 0 0 4
Meng et al. [38] 2020, China 2 THA MI S 0 0 0 4
2 CA PL 0 0 0 4
Moerenhout et al. [39] 2019, Canada 28 THA MI DAA NR 0 0 NR
27 CA P NR 0 0 NR
Müller et al. [40] 2010, Germany 21 THA MI AL 21 0 0 0
16 CA L 16 0 0 0
Ouyang et al. [41] 2018, China 12 THA MI S 5 0 0 7
12 CA PL 6 0 0 6
Pan et al. [42] 2020, China 58 THA MI S 12 26 NR 15
58 CA PL 11 25 NR 18
Reichert et al. [43] 2018, Germany 77 THA MI DAA 77 0 0 0
71 CA L 71 0 0 0
Ren et al. [44] 2016, China 21 THA MI S 0 0 0 21
21 CA 0 0 0 21
Restrepo, Parvizi, Pour, and Hozack [45] 2010, USA 50 THA MI DAA 50 0 0 0
50 CA L 50 0 0 0
Rykov et al. [46] 2017, Netherlands 23 THA MI DAA 23 0 0 0
23 CA PL 23 0 0 0
Schwarze et al. [47] 2017, Germany 22 THA MI AL 22 0 0 0
21 CA L 21 0 0 0
Taunton, Mason, Odum, and Springer [48] 2014, USA 27 THA MI DAA 27 0 0 0
27 CA P 27 0 0 0
Taunton et al. [49] 2018, USA 52 THA MI DAA 52 0 0 0
49 CA P 49 0 0 0
Varela‐Egocheaga et al. [50] 2013, Spain 25 THA MI L 21 0 0 4
25 CA L 22 0 0 3
Wang and Tian [51] 2021, China 50 HHA MI S 0 50 0 0
50 CA PL 0 50 0 0
Wang and Ge [52] 2021, China 43 THA MI S 0 43 0 0
42 CA PL 0 42 0 0
Xie et al. [53] 2017, China 46 THA MI S 46 0 0 0
46 CA P 46 0 0 0
Xu, Hu, and Yang [54] 2018, China 46 HHA MI S 0 46 0 0
46 CA P 0 46 0 0
Yan et al. [55] 2017, China 64 THA MI S 14 11 0 39
90 CA L 12 23 0 55
Yang et al. [56] 2010, China 55 THA MI AL 12 11 0 32
55 CA PL 19 13 0 23
Yuan, Zhu, Sun, and Zhang [57] 2018, China 40 THA MI S 5 21 4 10
44 CA PL 6 24 2 12
Zhang, Lin, and Xia [58] 2019, China 27 THA MI S 7 0 5 15
27 CA PL 9 0 4 14
Zhao et al. [59] 2017, China 60 THA MI DAA 41 0 6 13
60 CA PL 40 0 7 13

Abbreviations: AL, anterolateral; ANFH, avascular necrosis of the femoral head; CA, conventional approach; DAA, direct anterior approach; HHA, hip hemiarthroplasty; L, lateral; MH, MicroHip; MI, minimally invasive; NR, not reported; P, posterior; PL, posterolateral; S, SuperPATH; THA, total hip arthroplasty.

3.2. Quality Assessment

The RoB assessment is shown in Table 2, where 14 RCTs [21, 23, 24, 25, 30, 35, 38, 39, 41, 43, 45, 53, 56, 59] were considered to have a low RoB, 14 RCTs [19, 22, 26, 28, 29, 33, 37, 40, 48, 49, 51, 54, 55, 58] have a moderate RoB, and 13 RCTs [20, 27, 31, 32, 34, 36, 42, 44, 46, 47, 50, 52, 57] have a high RoB. The level of evidence is shown in Table 3, with low‐quality evidence for HHS 0–1.5, 3, and 6 months postoperatively and moderate‐quality evidence for HHS 12 months postoperatively. The assessment of publication bias using Begg's and Egger's tests is shown in Table 4. The corresponding funnel plots are shown in the Supplementary Appendix.

TABLE 2.

Risk of bias assessment.

RCT Bias arising from the randomization process Bias due to deviation from intended interventions Bias due to missing outcome data Bias in measurement of the outcome Bias in selection of the reported result Overall risk of bias
Auffarth et al. [19] + ? ? + + ?
Barrett, Turner, and Leopold [20] + ? ? +
Bon et al. [21] + + + + + +
Dai, Yin, Ji, and Yi [22] + + ? + + ?
D'Arrigo et al. [23] + + + + + +
De Anta‐Diaz et al. [24] + + + + + +
Dienstknecht et al. [25] + + + + + +
Ding, Li, and Luo [26] + + ? ? + ?
Gao and Shi [27] + ? + +
Hou, Bao, and Cheng [28] + ? + + + ?
Huang et al. [29] + ? + + + ?
Jia et al. [30] + + + + + +
Li [31] + ? +
Li [32] + + + +
Li et al. [33] + + ? + + ?
Ling, Zhou, and Fu [34] + + + +
Liu et al. [35] + + + + + +
Liu et al. [36] + + + +
Martin et al. [37] + ? + + ? ?
Meng et al. [38] + + + + + +
Moerenhout et al. [39] + + + + + +
Müller et al. [40] + + ? ? + ?
Ouyang et al. [41] + + + + + +
Pan et al. [42] + ? + +
Reichert et al. [43] + + + + + +
Ren et al. [44] + ? ? ?
Restrepo, Parvizi, Pour, and Hozack [45] + + + + + +
Rykov et al. [46] + + + +
Schwarze et al. [47] + ? +
Taunton, Mason, Odum, and Springer [48] + + ? + + ?
Taunton et al. [49] + + ? + + ?
Varela‐Egocheaga et al. [50] + + + +
Wang and Tian [51] + + ? ? + ?
Wang and Ge [52] + ? + +
Xie et al. [53] + + + + + +
Xu, Hu, and Yang [54] + + ? ? + ?
Yan et al. [55] + ? ? + + ?
Yang et al. [56] + + + + + +
Yuan, Zhu, Sun, and Zhang [57] + ? + +
Zhang, Lin, and Xia [58] + + ? + + ?
Zhao et al. [59] + + + + +

+

Abbreviations: +, low risk of bias; ?, some concerns; −, high risk of bias; RCT, randomized controlled trial.

TABLE 3.

Level of evidence assessment according to GRADE recommendations.

No. of studies Design Risk of bias Inconsistency Indirectness Imprecision Other considerations Quality of evidence
HHS postoperatively and HHS difference
1. HHS 0–1.5 months postoperatively
RCT Moderate Serious inconsistency No serious indirectness No serious imprecision Low
2. HHS 3 months postoperatively
RCT Moderate Serious inconsistency No serious indirectness No serious imprecision Low
3. HHS 6 months postoperatively
RCT Moderate Serious inconcistency No serious indirectness No serious imprecision Low
4. HHS 12 months postoperatively
RCT Moderate No serious inconcistency No serious indirectness No serious imprecision Moderate

Abbreviations: HHS, Harris Hip Score; RCT, randomized controlled trial.

TABLE 4.

Overview of the most important results of the meta‐analysis.

HHS RCTs, N Patients, N Treatment effect p I 2 Tau2 Egger bias Egger p
HHS 0–1, 5 months postoperatively 25 2145 5.14 < 0.0001*** 0.95 21.52 0.81 0.5556
HHSdiff 0–1, 5 months postoperatively 25 2145 5.06 < 0.0001*** 0.89 18.84 0.43 0.6285
HHS 3 months postoperatively 25 2094 3.34 0.0010*** 0.93 16.77 1.48 0.1792
HHSdiff 3 months postoperatively 25 2094 3.59 0.0009*** 0.85 17.80 0.63 0.4064
HHS 6 months postoperatively 19 1494 2.56 0.0071** 0.86 10.40 1.60 0.0878
HHSdiff 6 months postoperatively 19 1494 3.07 0.0051** 0.79 12.10 1.27 0.0688
HHS ≥ 12 months postoperatively 17 1242 1.11 0.0068** 0.08 1.70 0.64 0.1888
HHSdiff ≥ 12 months postoperatively 17 1242 0.60 0.3918 0.07 4.73 0.36 0.4228

Abbreviations: HHS, Harris Hip Score; HHSdiff, Harris Hip Score difference; RCT, randomized controlled trials.

*significant; **highly significant; ***very highly significant.

3.3. Meta‐Analysis of HHS Postoperatively and HHS Difference

3.3.1. At 0–1.5 Months Postoperatively

Data on 2145 patients from 25 RCTs were pooled (Figure 2 and Table 4), comparing both treatment groups by HHS 0–1.5 months postoperatively and HHSdiff 0–1.5 months postoperatively. The experimental group showed 5.14 points higher HHS 0–1.5 months postoperatively (MD = 5.14, 95% CI 3.17–7.11). The experimental group showed 5.06 points higher HHSdiff 0–1.5 months postoperatively (MD = 5.06, 95% CI 3.10–7.02).

FIGURE 2.

FIGURE 2

Forest plot of the HHS 0–1.5 months postoperatively. CI, confidence interval; HHS, Harris Hip Score; MD, mean difference; SD, standard deviation.

3.3.2. At 3 Months Postoperatively

Data on 2094 patients from 25 RCTs were pooled (Figure 3 and Table 4), comparing both treatment groups by HHS 3 months postoperatively and HHSdiff 3 months postoperatively. The experimental group showed 3.34 points higher HHS 3 months postoperatively (MD = 3.34, 95% CI 1.51–5.17). The experimental group showed 3.59 points higher HHSdiff 3 months postoperatively (MD = 3.59, 95% CI 1.63–5.56).

FIGURE 3.

FIGURE 3

Forest plot of the HHS 3 months postoperatively. CI, confidence interval; HHS, Harris Hip Score; MD, mean difference; SD, standard deviation.

3.3.3. At 6 Months Postoperatively

Data on 1528 patients from 19 RCTs were pooled (Figure 4 and Table 4), comparing both treatment groups by HHS 6 months postoperatively and HHSdiff 6 months postoperatively. The experimental group showed 2.56 points higher HHS 6 months postoperatively (MD = 2.56, 95% CI 0.79–4.33). The experimental group showed 3.07 points higher HHSdiff 6 months postoperatively (MD = 3.07, 95% CI 1.04–5.10).

FIGURE 4.

FIGURE 4

Forest plot of the HHS 6 months postoperatively. CI, confidence interval; HHS, Harris Hip Score; MD, mean difference; SD, standard deviation.

3.3.4. At 12 Months Postoperatively

Data on 1188 patients from 17 RCTs were pooled (Figure 5 and Table 4), comparing both treatment groups by HHS 12 months postoperatively and HHSdiff 12 months postoperatively. The experimental group showed 1.11 points higher HHS 12 months postoperatively (MD = 1.11, 95% CI 0.35–1.87). There was no significant difference in HHSdiff 12 months postoperatively (MD = 0.60, 95% CI −0.85–2.06).

FIGURE 5.

FIGURE 5

Forest plot of the HHS 12 months postoperatively. CI, confidence interval; HHS, Harris Hip Score; MD, mean difference; SD, standard deviation.

4. Discussion

This systematic review and meta‐analysis investigated whether the difference in HHS resulted in a different postoperative treatment effect than postoperative HHS alone. The study was based on a comparison of the treatment effect of 41 RCTs with a total of 3572 patients in which minimally invasive THA/HHA was compared with conventional THA/HHA. The HHSdiff was defined as the difference between the preoperative HHS and the HHS measured after surgery. The main finding of this study was that there was no relevant difference between reporting of HHS only postoperatively or the HHSdiff when comparing two hip replacement treatment groups in RCTs.

The HHS is a proven evaluation system for assessing the clinical condition of the hip, particularly after hip replacement surgery [2]. The HHS was developed in the 1960s by William H. Harris [2]. The HHS is divided into four main categories: pain (44 points), function (47 points, divided into daily activities and walking ability), range of motion (5 points), and deformity (4 points) [2]. The maximum score is 100, with higher scores indicating a better condition of the hip. Scores above 90 are considered excellent, 80–89 as good, 70–79 as fair, and below 70 as poor [2]. In clinical use, the HHS is a valuable tool for evaluating outcomes after hip surgery, particularly for hip arthroplasty [2]. Orthopedic surgeons use the HHS to track patient progress, evaluate the success of operations, and support treatment decisions. The standardized assessment allows us to collect objective data on the hip condition before and after surgery, which is important for both clinical research and individual patient care. In addition, the HHS allows comparison of results between different clinics and surgical methods, which helps to improve surgical techniques and patient care. The HHS is particularly useful as it integrates both subjective patient assessments and objective clinical findings, providing a comprehensive assessment of hip health.

The main finding of this meta‐analysis has important implications for the scientific literature on hip arthroplasty and hip function in general as well as for orthopedic practice. The numerous RCTs and meta‐analyses that reported only postoperative HHS are reliable, because even when the preoperative HHS, i.e. HHSdiff, is taken into account, no other relevant conclusions can be drawn. In other words, even if the orthopedic literature ignores preoperative HHS, it still seems to provide valid results when comparing two hip replacement treatment groups. It is also important for the practical work of the orthopedic surgeon to know that preoperative HHS does not seem to have a decisive influence on postoperative HHS. In other words, the postoperative outcome is more likely to be dependent on surgery‐related parameters such as correct implant positioning, soft tissue trauma, or surgeon experience.

To be precise, there was a slight difference between postoperative HHS and HHSdiff 12 months postoperatively. The experimental group showed a 1.11 point higher HHS 12 months postoperatively, but there was no significant difference in HHSdiff 12 months postoperatively. First, it should be emphasized that a difference of 1.11 is not clinically relevant, as the smallest minimum clinically important difference (MCID) for HHS reported in the literature is 7.9 [110]. Furthermore, the difference between postoperative HHS and HHSdiff 12 months postoperatively may simply be due to the sample size of the included primary studies and patients. This finding should be verified with a larger sample size.

Due to the uniqueness of the present study, a direct comparison with the literature is not possible. Previous studies have shown that the HHS is a valid tool that provides reliable information on the functional outcome of THA [3, 4, 5, 6, 7, 8, 9, 10] and is increasingly establishing itself as the gold standard [11]. Together with the results of this meta‐analysis, the use of the HHS should be further expanded.

Strengths and limitations should be mentioned: (i) This meta‐analysis was conducted and reported according to (PRISMA) guidelines (ii) and high‐quality statistical methods were used. (iii) The meta‐analysis was restricted to include only RCTs known to have a very good methodological design. (iv) The inclusion of a total of 41 RCTs with 3572 patients is a very large sample, which allows more reliable and generalizable conclusions to be drawn. (v) Of the 41 RCTs included in this meta‐analysis, 25 (61%) were from China. It has to be regarded as an advantage of this systematic review that it did not ignore the huge database of the CNKI. (vi) The main limitation of this meta‐analysis is that the treatment groups were limited to THA or HHA. It is not known whether the same study performed in patients undergoing, for example, hip arthroscopy or hip osteotomy might give different results. (vii) The direct comparison of the treatment effects of postoperative HHS and HHSdiff was a simple head‐to‐head comparison. There is no statistical test to make an objective calculation. (viii) In similar studies with such a large amount of data extraction, there is always a risk of extracting incorrect figures.

5. Conclusion

This study shows that there is no relevant difference between reporting the HHS postoperatively only or the HHSdiff when comparing two hip replacement treatment groups in RCTs. Both methods of HHS reporting produced comparable results in an identical cohort of 3765 patients undergoing hip replacement surgery.

Author Contributions

N.R. and M.V. performed the systematic literature review and data extraction. N.R. and H.T.H. performed the quality assessment of the included studies. R.H. carried out all statistical calculations. N.R. prepared all tables and figures. All authors supervised the work and read the final version.

Ethics Statement

The authors have nothing to report.

Consent

The authors have nothing to report.

Conflicts of Interest

The authors declare no conflicts of interest.

Supporting information

Data S1. Supporting Information.

OS-17-3-s001.zip (154.1KB, zip)

Funding: The authors received no specific funding for this work.

Data Availability Statement

The raw data extraction sheet is available in the supplement.

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Associated Data

This section collects any data citations, data availability statements, or supplementary materials included in this article.

Supplementary Materials

Data S1. Supporting Information.

OS-17-3-s001.zip (154.1KB, zip)

Data Availability Statement

The raw data extraction sheet is available in the supplement.


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